After a long week of re:Invent announcements, excitement, and uncertainty, the biggest question was finally answered… What t-shirt would Werner Vogels wear for his keynote. Now it’s time to analyze each of them separately and as a whole. AWS always leaves clues about its strategy and next steps hidden in its releases. At Keepler, we are preparing a more extensive review dissecting the main announcements. But we know you’re just like us, you can’t wait. So, we’ve prepared this post to whet your appetite.
We could say that this has been the re:Invent of Generative AI. AWS has officially launched Amazon Q and has integrated it into many of its services in addition to others that have included Generative AI capabilities:
- Amazon Q in QuickSight: Generative AI assistance to quickly and easily obtain data insights.
- Amazon Q Code Transformation: Facilitates the updating and modernization of existing application code.
- Amazon Q in Amazon CodeCatalyst: Allows developers to go from an idea to fully tested, merge-ready code with only natural language inputs.
- Amazon DataZone: New generative AI capabilities to simplify data cataloging and discovery.
- Amazon Connect: Generative AI features to improve contact center service.
- Amazon Redshift: Added new AI capabilities to enhance efficiency and productivity.
- Amazon SageMaker Canvas: Uses foundation models for business analysis and data preparation using natural language instructions.
- Amazon SageMaker Clarify: Allows evaluation, comparison, and selection of foundation models based on metrics such as accuracy, robustness, and factual knowledge.
- Amazon Transcribe Call Analytics: Call summaries powered by generative AI.
The presence of Generative AI at last year’s re:Invent was lower than expected, yet this year it has been the absolute protagonist, which leads us to believe that AWS has definitely changed its strategy to align itself with the strategy set by other competitors such as OpenAI, Microsoft or Google.
Some other very interesting releases, which we need to analyze in-depth, are:
- Containers: Improvements in metric management for Amazon EKS and simplification of IAM permissions.
- Database: Amazon Redshift added new AI capabilities, integration of Amazon DynamoDB with Amazon OpenSearch Service, and Amazon Aurora Limitless Database for automated horizontal scaling.
- Serverless: Vector engine for Amazon OpenSearch Serverless and faster scaling of AWS Lambda functions.
- Storage: New Amazon S3 Express One Zone storage class and improvements in Amazon EBS Snapshots Archive and Amazon EFS.
- Quantum Computing: Amazon Braket Direct for reserved and private access to quantum processing units (QPUs).
So far this is a very quick overview of what we consider to be the highlights of what AWS has shown at its annual event. We will soon publish a new article going into more detail on those solutions or services that we found particularly interesting enough to set the pace for next year and, perhaps, the following years. Stay tuned for updates!
Cloud Architect at Keepler. "I am a Cloud Architect at Keepler, but I am also passionate about technology and how it can transform our society. I love contributing my bit to help our clients become data-driven organizations"
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